The winning combination for real-time insights: Messaging and event-driven architecture

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In today’s fast-paced digital economy, businesses are fighting to stay ahead and devise new ways to streamline operations, enhance responsiveness and work with real-time insights. We are now in an era defined by being proactive, rather than reactive. In order to stay ahead, businesses need to enable proactive decision making—and this stems from building an …

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Generative AI roadshow in North America with AWS and Hugging Face

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In 2023, AWS announced an expanded collaboration with Hugging Face to accelerate our customers’ generative artificial intelligence (AI) journey. Hugging Face, founded in 2016, is the premier AI platform with over 500,000 open source models and more than 100,000 datasets. Over the past year, we have partnered to make it effortless to train, fine-tune, and …

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Build an AI Chatbot using a Generative AI Model with Dialogflow Knowledge Base.

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Introduction The exploration focuses on examining the workings of Dialogflow CX, a tool that assists in human-like conversations, and the advanced Gemini Pro model, a highly intelligent AI. It focuses on demonstrating their combined impact in revolutionizing the development of conversational agents. It’s all about how these two join forces to transform how we create …

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Using generative AI to accelerate product innovation

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Generative artificial intelligence (GenAI) can be a powerful tool for driving product innovation, if used in the right ways. We’ll discuss select high-impact product use cases that demonstrate the potential of AI to revolutionize the way we develop, market and deliver products to customers. Stacking strong data management, predictive analytics and GenAI is foundational to …

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Scale LLMs with PyTorch 2.0 FSDP on Amazon EKS – Part 2

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This is a guest post co-written with Meta’s PyTorch team and is a continuation of Part 1 of this series, where we demonstrate the performance and ease of running PyTorch 2.0 on AWS. Machine learning (ML) research has proven that large language models (LLMs) trained with significantly large datasets result in better model quality. In …

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